Ayurvedic Diagnosis using Machine Learning Techniques to examine the diseases by extracting the data stored in AyurDataMart

Ayurveda is an alternative, or comprehensive, medical system that blends natural medicines with a highly customized approach to disease treatment. It has been practiced in India for over 5,000 years. In diagnosis process of Ayurveda individuals are thoroughly screened by defining their metabolic type, or doshas, and treatment programmes are devised that may involve, among other things, proper dietary adjustments, exercise, yoga, meditation, massage, herbal tonics, and also counselling a patient and suggesting meditation and daily dietary routine. Hence Ayurveda defines a healthy person is the one who has balanced doshas which intern related between body, mind and soul. The imbalance in the daily activities, the poor way of life style without proper diet, regular exercise, the social activities, not balancing the work pressure with the daily routine all leads to unhealthy and unhappiness life. Thus in this paper we explore the diseases caused by the poor lifestyle, social activities, junk foods, stress, during early stage and the impact on all this factors on later stage, which causes many chronic diseases which lead to severe suffer and pain. Also survey on how to overcome these factors in the diagnosis process of Ayurveda and different treatment for these diseases is done. To analyze the diseases the best technology like Artificial Intelligence (AI), different Machine Learning and Deep Learning Algorithms are explored. Thus the overall discussion in this paper is to explore on analysis of diseases caused due to the impact of lifestyle by using the best technologies in the Ayurveda field. One of the main goal of integrating the modern medical technology with Ayurveda is to save amount of time people spend during the diagnosis process and allowing for effective diagnosis and treatment without changing the principle of Ayurveda.